About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Growth team helps people discover, adopt, and become successful on Claude. Product managers, engineers, designers, data scientists and marketers work together as one team across every product and plan: Pro, Max, Team, Enterprise, as well as the API for developers. Growth marketing sits within this unified Growth team, and is responsible for performance marketing, lifecycle, and SEO. We are hiring a Growth Marketing Lead to own and scale our performance marketing efforts. This leader will define channel strategy across self-serve and sales-assisted journeys, develop programs for distinct customer segments, and own measurable impact from demand creation through customer growth. Key responsibilities Own our global performance marketing channel strategy across all channels, including forecasting, planning, audience targeting, and budget pacing Execute growth campaigns end-to-end across acquisition, activation, and retention, from hypothesis through launch and scale Build campaigns and programs for consumers, developers, and businesses Own self-serve and product-led B2B demand generation for Team, Enterprise and the API, and partner with Enterprise Marketing and GTM on sales-assisted demand Partner closely with Data Science on incrementality, holdouts, attribution, lifetime value and payback Drive experimentation and incrementality measurement, translating results into scalable playbooks across markets, segments, and sales motions Work with Growth Product and Growth Engineering on top-of-funnel experiments, tracking and the marketing stack, so campaigns do not stop at the click Work with Brand, Content and Product Marketing to get high-quality creative out much faster, and take what works in core markets international Turn complex analysis into clear recommendations for senior leadership, shape the long-term roadmap, and lead and grow the growth marketing team Minimum qualifications Have 10+ years in growth or performance marketing at high-growth technology companies with a self-serve or product-led motion Have led a growth marketing function, owning the team, budget, and KPIs across multiple channels, and have been hands-on in the work recently Have driven self-serve and product-led B2B demand generation as well as consumer growth, and have partnered well with enterprise marketing and sales teams Are rigorous about experimentation and incrementality, can pull and check your own numbers, and can hold your own with data scientists Reason from first principles, push through blockers and ship, and bring partner teams along while you do it Communicate clearly in writing and can explain marketing performance to non-marketers and executives Technical background or ability to work effectively with engineering teams Already use AI to work faster and better, have a point of view on how it changes growth marketing, and are excited about Anthropic's mission Preferred qualifications Have marketed to developers or other technical audiences, or worked on an AI product Experience across both SEO and lifecycle, in addition to performance marketing Experience working on products with dual B2C and B2B funnels Experience working on consumer subscription businesses Founder background The annual compensation range for this role is listed below. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $400,000 USD Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
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About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking a Director, Technical Accounting – Investments and M&A to join our Finance team at Anthropic. In this role, you will own the company's accounting for strategic investments, partnerships with investment components, and related capital transactions, and support mergers and acquisitions when deal volume requires. You will report to the Senior Director, Technical Accounting – M&A and Investments. As Anthropic continues to scale rapidly and deploy capital into strategic investments, joint ventures, and novel commercial structures, including compute arrangements that carry warrants and other investment features, you will be a key technical resource on classification, consolidation outcomes, fair value, and financial statement impact across the portfolio. You will partner closely with Corporate Development, Legal, Tax, Treasury, FP&A, and leadership to ensure that investment economics are accurately reflected under US GAAP and that positions are defensible to external auditors, valuation specialists, and future regulators. This is a builder role: you'll help stand up and continuously sharpen the portfolio accounting process, controls, and valuation governance expected of a world class finance organization, working alongside the Senior Director as the function takes shape. If you want to own a portfolio end to end — and still be in the room when deals are shaped — we want to hear from you. Responsibilities Execute technical accounting for strategic investments, joint ventures, partnership structures, and related financing/equity instruments from entry through exit Partner with and influence Corporate Development to steer investment structures toward preferred terms and outcomes, reviewing term sheets and deal documents before signing Own entry accounting for each new investment — classification under ASC 321, 323, or 810, VIE/primary-beneficiary analysis, basis differences, and the initial measurement memo Run the quarterly portfolio review — reconsideration events, impairment indicators, observable price changes, and equity method pick-ups — and account for follow-on investments, conversions, down rounds, and exits Own the investment rollforward, its reconciliation to the general ledger, and the portfolio reporting that supports close, FP&A, and leadership, including review of portfolio company financial statements Manage third-party valuation specialists; review fair values of investments, warrants, and derivative features, including Level 3 inputs and impairment analyses Assess warrants, equity rights, and other investment components embedded in partnerships and compute arrangements, partnering with Accounting Policy on how consideration is allocated Support M&A transactions alongside the M&A lead when deal volume requires — accounting due diligence, purchase accounting (consideration measurement, PPA review, opening balance sheet), and measurement-period adjustments Author and defend technical accounting policies & memoranda; partner closely with external auditors on investment, consolidation, and M&A matters Help build the investments operating model — intake form and approval gates, memo templates, quarterly checklists, and SOX-ready controls — designed to scale as the portfolio grows including utilizing Claude, ERP systems and third party applications (as applicable) Prepare and review investment and transaction disclosures for quarterly and annual filings, including fair value, equity method, and VIE disclosures Present investment accounting conclusions and financial statement impacts to leadership and cross-functional stakeholders in clear, decision-ready terms Monitor standard-setting and SEC developments affecting investments, consolidation, and business combinations; support adoption and cross-functional education Minimum qualifications Bring significant Big 4 experience — ideally in a National Office, Transaction/Deal Advisory, or Capital Markets/Accounting Advisory group — paired with in-house experience at a technology company and public accounting or advisory experience Proven experience leading complex valuations (e.g., business combinations, equity and debt investments, warrants and other Level 3 instruments), including directing and challenging the work of third-party valuation specialists Have owned the accounting for a portfolio of minority/strategic investments, including quarterly impairment and fair value monitoring and at least one investment of meaningful scale or complexity Possess deep command of US GAAP for investments in equity securities, equity method, consolidation and VIEs, fair value measurement, and business combinations, with a track record of positions that withstand auditor and regulator scrutiny Are fluent in valuation concepts and can direct and challenge third-party specialists on private company fair value, warrant/option pricing, impairment, and PPA models Have operated within an investments-accounting or deal-accounting function, contributing to playbook and controls design Communicate effectively with Corporate Development, Legal, and Tax on structuring trade-offs, translating technical conclusions for cross-functional and senior stakeholders Demonstrate exceptional written and verbal communication, translating complex investment and deal accounting into clear business implications Excel at hands-on technical execution in a fast-paced, ambiguous environment, shifting between portfolio work and live deals as priorities change Are proficient with accounting systems (Workday preferred), consolidation tools, and advanced Excel/modeling Curious about and quick to adopt new AI tools, including Claude and Claude for Finance Preferred qualifications Have 10+ years of progressive accounting experience, including 4+ years owning strategic investment, equity method, or consolidation accounting end-to-end Have deep, practitioner-level expertise in one or more of the following: Investments in equity securities, equity method, and consolidation (ASC 321, 323, 810), including VIE/primary-beneficiary analysis, basis differences, and the measurement alternative Fair value measurement, derivatives, and embedded features (ASC 820, 815, 825), including warrants and Level 3 inputs for private company investments Business combinations and asset acquisitions (ASC 805), including contingent consideration and step acquisitions Collaborative arrangements and consideration exchanged in commercial deals (ASC 808, 606) Hold an active CPA license Have built an investment accounting process from the ground up, including intake, quarterly monitoring, and SOX-compliant controls over non-routine/complex transactions Have prepared or reviewed investment disclosures in SEC filings, including fair value hierarchy, equity method, and VIE disclosures Have experience with novel AI/technology structures — investments bundled with compute or commercial agreements, warrants received from customers or vendors, revenue-share partnerships, and strategic investor rights — and are passionate about leveraging AI to automate portfolio monitoring, memo drafting, and close Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $230,000 — $300,000 USD Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About Beneficial Deployments Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, foundations, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences — focusing on raising the floor for those who need it most. About the Role We're looking for an Applied AI Architect to join our Beneficial Deployments, Life Sciences team, focused on helping scientists everywhere get the most from Claude, especially Claude Science. You'll run enablements, workshops and hackathons, build demos that show what frontier models can do for the field, and grow a community of scientists building with Claude. You'll also scale scientific enablement inside Anthropic, so our Applied AI and customer teams can support scientists without you in the room. Responsibilities Be the DRI for scientific enablement: decide what to run, build the materials, deliver them, and measure whether research teams reach daily use of Claude. Lead our programs for activating scientists at scale, such as LSVP and Claude for Researchers: set the goals, design the program and run it. Build demos, notebooks and tutorials that show scientists what frontier models can do in their own work, and be an active voice where scientists share tools online (X, LinkedIn, etc.). Scale scientific enablement inside Anthropic: train our Applied AI and Customer Success teams, and build playbooks they can run without you. Build and lead a scientist community around Claude, and be its ambassador (and support ambassador programs), from small meetups to large conferences. Be the voice of scientists inside Anthropic: turn what you hear into concrete asks and see them through to launch, and partner with Marketing and Comms so campaigns and content reach the scientific community. You Might Be a Good Fit If You Have Deep hands-on expertise with AI tools for science such as Claude Science: you know where they shine and where they break. Real credibility as a scientist: hands-on experience doing science in academic labs, biotechs, pharma or research institutes, ideally as a user of the kind of tools you'll help scientists adopt. Experience building or running programs for scientific communities is a plus. A track record of helping many scientific teams adopt a new tool through demos, trainings, workshops or hackathons. Up to date on AI for science, such as agentic analysis and AI co-scientists, and able to explain it to working scientists. Hands-on experience building with LLM APIs: you can prototype a working demo. You don't need to write production code. Clear written and spoken communication: talks, tutorials and docs that scientists find useful. A track record of taking programs or products from idea to results: you set the direction, did the work and were accountable for the outcome, often with no playbook. Comfort operating in ambiguity: you bring clarity to fuzzy problems, wear multiple hats and do whatever it takes to further the mission. The annual compensation range for this role is listed below. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $275,000 — $315,000 USD Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
About Lucid At Lucid, we are creating exceptional mobility experiences through innovation to drive the world forward. Built on Lucid's proprietary technology and software-defined vehicle architecture, our award-winning vehicles bring our "Compromise Nothing™" approach to the global automotive market. That means refusing to choose between performance and sustainability, design and engineering, ambition and integrity. In Lucid Air and Lucid Gravity, we have designed and built vehicles that have redefined their segments, combining exceptional range, performance, design, and expansive space in a single experience. We achieve this through deep vertical integration, with design, engineering, and production happening in-house across our global offices and manufacturing facilities. Our teams come from industries around the world, united by a shared commitment to excellence. By refusing to settle, you can help redefine what's possible and shape the future of mobility. We are currently seeking a Sr. Transaction Operations Specialist for Lucid. This person will be responsible for ensuring that Lucid can support Inside Sales and customer-facing field Sales teams from the reservation process through deliveries to the customers and acting as an extension of the DMV Operations team located in Phoenix, AZ. Responsibilities: Coordinate with the Sales, Delivery and Order Operations teams to ensure that all required documents pertaining to the vehicle purchase are complete and accurate. Prepare and review customer Purchase Agreements, disclosures and vehicle DMV documents for customer deliveries. Process DMV registrations across multiple states for customers as well as fleet vehicles. Record information and ensure data quality in multiple systems. Serve as authority on vehicle taxes and fees, keeping abreast of state changes. Provide operational support to business partners for ad-hoc initiatives. Support revenue recognition reviews on an ongoing basis Work with Supervisor to continuously improve training material and help aide in training of new hires. Qualifications: Preferably 2 years of experience with In-State Dealership Title and Registration. Dealership Business Office administration or Dealership Finance Assistant preferred. Demonstrated experience in processing Title and Registration, Sales Contract Processing and other Sales and DMV documents. Passion for the customer experience and an understanding of how operational efficiencies impact said experience. Must be able to multi-task, be flexible, and perform in a fast-paced environment. Comfort navigating ambiguity with an ability to create in an undefined, unestablished environment. Ability to work independently and think creatively with a proven track record of execution. Exceptional organizational skills and attention to detail. Strong communication skills, both written and verbal. At Lucid, we don't just welcome diversity - we celebrate it! Lucid Motors is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity and expression, marital status, and any other characteristic protected under applicable State or Federal laws and regulations. Compensation Range : The compensation range for this position is specific to the locations listed below and is the range Lucid reasonably and in good faith expects to pay for the position taking into account the wide variety of factors that are considered in making compensation decisions, including job-related knowledge; skillset; experience, education and training; certifications; and other relevant business and organizational factors. Base Pay Range (hourly) $27 — $38 USD Compensation & Benefits: Lucid offers a comprehensive and competitive benefits package including medical, dental, and vision insurance; life and disability coverage; paid time off; paid holidays, paid sick leave; and a 401(k) retirement plan. Hourly/non-exempt employees accrue up to 120 hours paid time off, and salaried/exempt employee accrue up to 160 hours paid time off. Eligible employees may also participate in Lucid's equity program and/or a discretionary annual cash incentive program. Incentive and equity awards, if applicable, are determined based on individual performance, role scope, market considerations, and overall company results, in accordance with the terms of the applicable plans. Equal Opportunity: At Lucid, we believe diversity strengthens everything we build. Lucid Motors is proud to be an equal opportunity employer and is committed to providing an inclusive workplace for all. We consider all qualified applicants without regard to race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity or expression, marital status, or any other characteristic protected by applicable state or federal laws and regulations. Accessibility: Lucid Motors is committed to providing reasonable accommodations for qualified individuals with disabilities. If you need any accommodation to participate in the application process, please contact us at TA-Operations lucidmotors.com . This email address is designated solely for accommodation requests and is not monitored for job applications or resume submissions. To be considered for employment, all applications must be submitted through the Lucid Motors Careers website. Candidate Data Privacy: By submitting your application, you understand and agree that your personal data will be processed in accordance with our Candidate Privacy Notice . To all recruitment agencies: Lucid Motors does not accept agency resumes. Please do not forward resumes to Lucid Motors. Lucid Motors is not responsible for any fees related to unsolicited resumes.
About Lucid At Lucid, we are creating exceptional mobility experiences through innovation to drive the world forward. Built on Lucid's proprietary technology and software-defined vehicle architecture, our award-winning vehicles bring our "Compromise Nothing™" approach to the global automotive market. That means refusing to choose between performance and sustainability, design and engineering, ambition and integrity. In Lucid Air and Lucid Gravity, we have designed and built vehicles that have redefined their segments, combining exceptional range, performance, design, and expansive space in a single experience. We achieve this through deep vertical integration, with design, engineering, and production happening in-house across our global offices and manufacturing facilities. Our teams come from industries around the world, united by a shared commitment to excellence. By refusing to settle, you can help redefine what's possible and shape the future of mobility. Manager, Vehicle Field Quality Engineering | Arizona | Full-Time | Onsite About Lucid At Lucid, we are creating an electric future without compromise. That means refusing to choose between performance and sustainability, design and engineering, ambition and integrity. We build world-class vehicles by pushing performance, efficiency, and design beyond industry limits, setting new standards with vehicles like Lucid Air and Lucid Gravity. The people here, engineers, designers, operators, and builders, came from across industries and around the world because they wanted to work on a harder problem. They care deeply about mastering their craft and delivering work they're proud of. We trust you to take ownership, push beyond what is expected, and help write the playbook for what comes next. By refusing to settle, you help shape the future of electric mobility and prove what's possible when craft and ambition refuse to compromise each other. The Role We are seeking a highly technical and collaborative Manager, Vehicle Field Quality to lead a defined portfolio of vehicle systems and Field Quality Engineers while advancing shared Vehicle Field Quality priorities across Lucid Air, Lucid Gravity, and future programs. This role strengthens leadership capacity within the Vehicle Field Quality organization and accelerates the detection, investigation, containment, and permanent resolution of vehicle concerns affecting customers in global markets. The successful candidate will combine people leadership, vehicle-level systems expertise, disciplined issue management, data-driven prioritization, and strong cross-functional execution. This leader will balance specialist ownership with whole-vehicle thinking and drive clear accountability across Engineering, Manufacturing, Supplier Quality, Service, Diagnostics, Warranty, Product Safety, regional quality teams, and other partners. Success in the first 12 months means improving the speed and rigor of issue detection, containment, root cause confirmation, and corrective-action implementation; reducing repeat repairs, warranty exposure, customer downtime, and recurrence of known failure modes; strengthening ownership and workload balance across the team; improving global execution; and ensuring field lessons are integrated into current and future vehicle programs. What you will find here that you will not find in a comparable role elsewhere is the opportunity to lead whole-vehicle Field Quality execution across highly integrated hardware and software systems while directly influencing customer experience, product reliability, global field actions, and future vehicle development. What You'll Own Vehicle Field Quality Leadership Lead, coach, and develop an assigned team of Vehicle Field Quality Engineers responsible for customer issue investigations and corrective-action execution. Provide leadership coverage for urgent escalations, operating reviews, team development, hiring, and cross-functional decision-making. Maintain clear accountability across assigned vehicle systems, programs, regions, and critical initiatives while partnering effectively with other Field Quality leaders. Vehicle Systems Portfolio Ownership Own field-quality performance for an assigned portfolio that may include body and closures, chassis, interiors and seating, exterior systems, low-voltage electrical, infotainment, software-integrated vehicle functions, ADAS interfaces, climate, NVH, or other vehicle-level systems. Ensure clear system ownership, technical depth, and effective backup coverage across the Vehicle Field Quality team. Balance specialist ownership with whole-vehicle thinking to identify interactions across hardware, software, manufacturing, service, and customer-use conditions. Field Issue Detection & Prioritization Monitor warranty claims, service repairs, repeat repairs, customer complaints, Voice of Customer signals, diagnostic data, telematics, field reports, and quality issue records to identify emerging concerns. Prioritize issues using customer impact, safety or regulatory relevance, frequency, vehicle population exposure, recurrence risk, warranty cost, regional impact, and business risk. Maintain disciplined focus on top customer concerns, emerging issues, high-aging investigations, and concerns requiring leadership escalation. Investigation, Containment & Root Cause Drive timely problem definition, suspect-population assessment, vehicle inspection, failure reproduction, part collection, teardown, data analysis, and structured root cause investigation. Ensure interim containment protects customers and prevents additional exposure while permanent corrective actions are developed. Confirm root causes and contributing factors through objective evidence, including engineering data, physical analysis, manufacturing history, supplier information, diagnostics, and service findings. Corrective Action & Field Execution Oversee permanent corrective actions across product design, manufacturing processes, supplier controls, software, diagnostics, service procedures, and component specifications. Partner with Service, Campaigns, Parts, Engineering, Manufacturing, Supplier Quality, and regional teams on Technical Service Corrections, Technical Service Bulletins, software actions, inspections, parts readiness, and customer-impact mitigation. Validate implementation effectiveness through field monitoring, repeat-repair analysis, warranty trends, and post-action performance. Safety, Regulatory & Executive Escalation Support Ensure potential safety, compliance, homologation, stop-sale, recall, or significant customer-risk concerns are escalated through the appropriate governance forums. Prepare clear technical summaries that distinguish confirmed facts, open questions, containment status, decision needs, timing, and residual risk. Support leadership and Product Safety reviews with accurate field evidence and traceable investigation records. Global & Regional Field Quality Execution Coordinate issue resolution across North America, Europe, KSA, and other markets, recognizing regional customer expectations, operating conditions, service capability, and market-specific requirements. Build effective working relationships with service centers and regional quality teams to improve issue detection, evidence collection, repair feedback, and action implementation. Ensure global concerns have consistent ownership while allowing regional actions where product configuration or market requirements differ. Launch Readiness & Prevention Translate field lessons into design requirements, validation plans, DFMEA and PFMEA updates, manufacturing controls, diagnostic strategies, service procedures, and future program decisions. Support launch and change readiness for new vehicles, model years, software releases, engineering changes, and supplier or manufacturing process changes. Drive prevention by ensuring lessons learned are documented, assigned, implemented, and verified across applicable programs. Operating Rhythm, Metrics & Communication Lead recurring issue-management reviews for the assigned portfolio with clear ownership, due dates, escalation criteria, and closure evidence. Track KPIs such as R/1000, months-in-service trends, cost per vehicle, repeat repairs, issue aging, containment timing, root-cause timing, corrective-action timing, and field-action effectiveness. Provide concise weekly and executive updates on performance, top risks, customer impact, corrective actions, support required, and next steps. What You Bring Required Bachelor's degree in Mechanical , Electrical, Automotive, Systems, Mechatronics, Manufacturing Engineering, or a related technical field. 8+ years of experience in automotive field quality, vehicle engineering, product quality, reliability, diagnostics, validation, warranty engineering, manufacturing quality, supplier quality, service engineering, or a related discipline. 3+ years of experience leading technical teams, engineering investigations, quality organizations, or complex cross-functional problem-solving activities. Strong working knowledge of complete-vehicle systems and the interaction among body, closures, chassis, interior, electrical, software, ADAS, climate, NVH, and service diagnostics. Demonstrated experience investigating customer and field issues using warranty data, service records, diagnostics, vehicle data, physical inspection, and component analysis. Experience leading containment, structured root cause analysis, corrective action, and effectiveness validation. Knowledge of quality methods such as 8D, RCCA, 5 Whys, Fishbone/Ishikawa, Fault Tree Analysis, FMEA, DOE, SPC, Control Plans, and PPAP. Ability to evaluate customer, safety, regulatory, technical, warranty, launch, and business risk and drive timely escalation. Excellent leadership, coaching, organization, written communication, executive presentation, and stakeholder-management skills. Ability to work onsite and remain effective in a fast-paced, cross-functional environment with changing priorities. Ability to read, write, speak, and understand English sufficiently to perform the essential duties of the position, including understanding work instructions, safety procedures, and job-related communications. Preferred Master's degree in Engineering , Reliability, Systems Engineering, or a related technical discipline. Experience leading a Vehicle Field Quality, Product Quality, VRE/VQS, Reliability, Warranty, or Customer Issue Management team. Experience with battery-electric vehicles, premium vehicles, connected vehicles, or highly integrated hardware and software products. Experience supporting product safety, regulatory, homologation, recall, campaign, or field-action reviews. Experience with vehicle diagnostics, CAN communication, DTC analysis, telematics, remote diagnostics, and connected-vehicle analytics. Experience working directly with service centers, regional quality teams, customers, suppliers, and manufacturing plants. Experience supporting multiple vehicle launches or full product-development cycles. Six Sigma, Red X, Shainin, or equivalent advanced problem-solving certification. Experience with Power BI, Tableau, SQL, Jira, or other analytics and issue-management tools. Work Requirement Fully onsite at Lucid Arizona manufacturing facilities and offices, with regular in-person presence required . Ability to travel as needed to service locations, suppliers, engineering sites, manufacturing facilities, and field-investigation locations. Ability to safely support hands-on vehicle and component investigations in workshop , laboratory, manufacturing, and field environments. Compensation and Benefits Lucid offers a comprehensive and competitive benefits package that includes medical, dental, vision, life and disability insurance, paid time off, and a 401(k) plan. Eligible employees may also participate in Lucid's equity program and/or a discretionary annual incentive program, subject to the terms and conditions of those programs. Cash or equity incentive awards, if applicable, are determined by multiple factors, including individual performance and overall company results. Equal Opportunity At Lucid, we believe diversity strengthens everything we build. Lucid Motors is proud to be an equal opportunity employer and is committed to providing an inclusive workplace for all. We consider all qualified applicants without regard to race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity or expression, marital status, or any other characteristic protected by applicable state or federal laws and regulations. Accessibility Lucid Motors is committed to providing reasonable accommodations for qualified individuals with disabilities in our application and hiring process. If you need an accommodation to participate in the application process, please contact us at [accessibility contact TBD]. Candidate Data Privacy By submitting your application, you understand and agree that your personal data will be processed in accordance with our Candidate Privacy Notice. If you are a California resident, please refer to our California Candidate Privacy Notice. To All Recruitment Agencies Lucid Motors does not accept agency resumes. Please do not forward resumes to our careers alias or other Lucid Motors employees. Lucid Motors is not responsible for any fees related to unsolicited resumes. Compensation & Benefits: Lucid offers a comprehensive and competitive benefits package including medical, dental, and vision insurance; life and disability coverage; paid time off; paid holidays, paid sick leave; and a 401(k) retirement plan. Hourly/non-exempt employees accrue up to 120 hours paid time off, and salaried/exempt employee accrue up to 160 hours paid time off. Eligible employees may also participate in Lucid's equity program and/or a discretionary annual cash incentive program. Incentive and equity awards, if applicable, are determined based on individual performance, role scope, market considerations, and overall company results, in accordance with the terms of the applicable plans. Equal Opportunity: At Lucid, we believe diversity strengthens everything we build. Lucid Motors is proud to be an equal opportunity employer and is committed to providing an inclusive workplace for all. We consider all qualified applicants without regard to race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity or expression, marital status, or any other characteristic protected by applicable state or federal laws and regulations. Accessibility: Lucid Motors is committed to providing reasonable accommodations for qualified individuals with disabilities. If you need any accommodation to participate in the application process, please contact us at TA-Operations lucidmotors.com . This email address is designated solely for accommodation requests and is not monitored for job applications or resume submissions. To be considered for employment, all applications must be submitted through the Lucid Motors Careers website. Candidate Data Privacy: By submitting your application, you understand and agree that your personal data will be processed in accordance with our Candidate Privacy Notice . To all recruitment agencies: Lucid Motors does not accept agency resumes. Please do not forward resumes to Lucid Motors. Lucid Motors is not responsible for any fees related to unsolicited resumes.
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Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Waymo Operations exists to deliver the Waymo Driver to the world. We are a global team building and scaling the world's first and leading autonomous fleet and operations platform. From component sourcing to end customer management, we enable and create value for Waymo through scaled and orchestrated deployment of the Waymo Driver. At Waymo, we are dedicated to building a culture that promotes collaboration and celebration. We value our team members' unique backgrounds, perspectives, and experiences and support and encourage all team members to share their ideas to help Waymo better serve the communities in which we operate. You will: Develop operational systems to support standardized work, problem solving, process definition, and a continuous improvement culture in Waymo Ops organization across lines of business Drive system level process improvement initiatives to streamline human dependent processes, reduce variability, waste, and cost and positively impact key business metrics such as quality supply, throughput flow Help ingrain unmistakable DNA for Waymo Operations that transcends markets and partners, and sets standards in the AV ecosystem Facilitate cross functional problem solving to design counter measures and corrective actions collaboratively Coach and teach people on measuring and driving operational efficiencies Be a key strategic thought partner for cross functional leaders across the organization You have: 15+ years of experience in operations management, program management, and/or process improvements Excellent and superior problem solving and process improvement skills : ability to break down ambiguous and complex operational problems into manageable segments, draw insights from data and structured observation and establish standards Demonstrated ability to influence cross-functional stakeholders at various levels to successfully drive strategy of the function and business outcome Solid experience planning for and managing several large-scale, complex projects and coordinating cross functional project members to deliver quality results on time Track record of delivering results through relationship building, collaboration, consultation communication and influencing Bachelor's Degree(s) in Operations Management, Business, Engineering, or related field in technology focused industry We prefer: Experience driving organization toward process maturity, lean culture transformation Experience in workflow optimization and process excellence, specifically in hybrid environment of extended workforce and full-time employees, involving hand-offs Familiarity with safety-critical operations where standardized operations and clear instructions are vital to risk mitigation and regulatory adherence. Experience developing or leading quality management or document management systems based on industry standards Technology forward mindset to drive process and operational excellence such as use of leading AI tools, driving efficiency via use of agentic-AI driven operational workflows Masters Degree(s) in Industrial Engineering, Business or related technical field Travel: 10-15% travel required The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $190,000 — $234,000 USD
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo One, a fully autonomous ride-hailing service, and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over one million rider-only trips, enabled by its experience autonomously driving tens of millions of miles on public roads and tens of billions in simulation across 13+ U.S. states. The real-time communication infrastructure between Waymo vehicles and cloud services is one of the most critical pillars for Waymo's rapid business growth and expansion. Our mission is to develop and maintain a cutting-edge, globally scalable infrastructure for real-time communication between Waymo vehicles and cloud services. As Waymo rapidly scales its commercial operations and expands its autonomous fleet across diverse operating environments, sustaining ultra-reliable vehicle connectivity in challenging, congested, and weak-signal wireless conditions is essential to fleet safety and availability. You will: Lead the architectural design, implementation, and scaling of Waymo's mission-critical real-time communication infrastructure and onboard networking stack. Design and build highly reliable, low-latency transport protocols and communication systems to ensure continuous connectivity across dynamic and challenging wireless environments. Optimize network performance, data transmission efficiency, and traffic prioritization between vehicle fleets and cloud services. Partner with cross-functional engineering teams across onboard vehicle systems, cloud platforms, and fleet operations to support mission-critical data exchange. Provide technical leadership, mentor team members, and champion engineering best practices in system reliability, concurrency, and performance. You have: BS degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent practical experience. 5+ years of software engineering experience in C++ within Linux environments. 3+ years of experience designing, building, and operating low-latency network protocols, communication systems, or distributed systems. Deep expertise in systems and network programming, multithreading, concurrency, and asynchronous I/O. Demonstrated track record of technical leadership—navigating ambiguous problems and delivering complex systems to production. We prefer: MS or Ph.D. in Computer Science, Computer Engineering, or a related technical field. Experience with wireless and cellular networking architectures (LTE/5G, multi-link bonding, mobile networking protocols). Familiarity with Linux networking internals, socket programming, or network traffic management. Experience with modern transport protocols, proxies, or streaming technologies (e.g., QUIC, WebRTC, Envoy). Experience developing software for embedded Linux, automotive platforms, robotics, or autonomous vehicle systems. Strong background in performance profiling, network optimization, and system resilience. Location in or willingness to relocate to the San Francisco Bay Area is preferred. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $213,000 — $263,000 USD
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Our Driver may be autonomous, but Waymo's finances are steered by experts like you. The Finance and Accounting group manages all aspects of our finances and serves as trusted advisors for all our strategic and enterprise endeavors. Along with managing compilation of our financial statements, looking after our cash and overseeing compliance, we partner closely with the business in overseeing company wide resource allocation, developing cutting edge compensation initiatives and generating detailed financial analyses to drive the business forward. We also develop advanced capital strategies to support the company's short- and long-term future. This role follows a hybrid work schedule and reports to the Revenue/Accounting Manager You will: • Partner with cross-functional stakeholders to analyze and operationalize revenue product offerings and new market launches • Perform month end revenue accounting for Waymo entities • Serve as the Accounting SME on revenue and order-to-cash ERP system implementation upgrades and enhancements • Automate and improve existing revenue and order-to-cash accounting processes, and help design processes for new business areas You have: • Bachelor's degree or equivalent practical experience • 7+ years of relevant revenue accounting work experience following US GAAP, including 4+ years at a Big 4 accounting firm and 3+ years industry experience • Significant experience partnering with cross-functional teams, including management-level relationships in and outside of Finance, to accomplish shared goals • Maintain the integrity of confidential information We prefer: • Strong understanding of US GAAP and IFRS, particularly in ASC 606 and IFRS 15 • Experience SAP Cloud • Proven ability to work in a cross-functional, fast-paced environment, and to lead and drive complex initiatives • Strong attention to detail, organizational skills; and ability to multitask in a dynamic environment The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $159,000 — $196,000 USD
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Business Systems team defines and builds the business IT architecture that supports the commercial operation of Waymo's autonomous fleet. The team stands at the intersection of finance, operations and IT; through creative architecture, expertise and attention to detail, it ensures that Waymo has world-class capabilities across all its business processes. As the Business System Lead for Real Estate and HR, you will serve as a strategic technology partner responsible for building, scaling, and modernizing the enterprise applications powering Waymo's workforce and workplace solutions. In this role, you will bridge People Operations, Real Estate & Workplace Services (REWS), and Engineering to establish an automated, AI-enabled systems ecosystem. You will lead cross-functional architectures—connecting employee lifecycle events in core HRIS to automated digital identity and physical workplace provisioning—to support Waymo's commercial and operational scale. In this hybrid role, you will report to a Senior Manager Sr. Manager Finance, Indirect Procurement & HR Systems. You will: Portfolio Strategy & Architecture: Define and execute the multi-year technology roadmap across People, Culture, and REWS systems, ensuring alignment between Waymo's business objectives, IT strategy, and Alphabet corporate infrastructure. Team Leadership & Delivery: Lead, mentor, and guide a high-performing team of systems analysts, engineers, and program managers, driving sprint backlogs, UAT execution, vendor governance, and bi-annual release cycles. Lifecycle Automation: Architect resilient cross-platform integrations translating employee lifecycle events (onboarding, role transfers, departures) into automated downstream actions across identity provisioning, badge access control, and desk allocation. AI-First Solution Design: Modernize core workplace and HR processes by evaluating and embedding AI-native tools, LLM-driven workflow automations, and intelligent business process automation (RPA). Enterprise Systems Integration: Lead large-scale SaaS implementations and platform enhancements anchored around core tools such as Workday HCM, CoStar, Sitetracker, Tririga, and corporate SAP integrations. Operational Excellence & Governance: Direct system change management, 3rd-level incident triage, and root-cause analyses while enforcing enterprise-grade data privacy, audit compliance, and SOC/SOX security controls. You have: A Bachelor's degree in a technical or business discipline (such as Computer Science, Engineering, Business Administration, or MIS), or equivalent practical experience. 8 to 10 years of experience working as a Business Systems Analyst, specifically supporting corporate HR, facilities/real estate functional areas. Strong understanding of HR & Real Estate tech domain and its core business processes like Hire to Retire. Solid project management fundamentals, including experience working within Agile/Scrum frameworks, managing backlogs, and prioritizing competing requests. Excellent communication skills, with a track record of translating complex technical architecture into plain language for non-technical business partners. We prefer: Master's degree in Information Systems, Computer Science, or an MBA. Deep functional and technical knowledge of Workday (Core HCM, Business Process Framework, Studio, EIB) and enterprise financial/subledger integration points (e.g., SAP). Proven success driving business systems transformation in high-growth technology, autonomous vehicle, or complex hardware/fleet environments. Experience with IoT/sensor-based space utilization systems, lease accounting workflows, and physical security access control integrations (e.g., Lenel, CCure). Practical experience evaluating and deploying generative AI tools, automated chatbots, or agentic workflows to optimize corporate workforce operations. Familiarity with Alphabet internal shared infrastructure, security review standards, and enterprise data privacy policies. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $200,000 — $247,000 USD
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The mission of the Waymo AI Foundations team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet. AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation. Waymo interns partner with leaders in the industry on projects that create impact to the company. We believe learning is a two-way street: applying your knowledge while providing you with opportunities to expand your skill-set. Interns are an important part of our culture and our recruiting pipeline. Join us at Waymo for a fun and rewarding internship! You will: Research, implement, and evaluate zero shot object detection models for autonomous driving Collaborate with research and engineering teams to improve Waymo's foundation models Conduct cutting-edge research and potentially communicate research findings to the wider academic community via technical reports and/or publications You have: Currently pursuing a Masters or Ph.D. in Computer Science, Robotics, Machine Learning, Electrical Engineering, or a related field Strong publication record in top-tier AI/ML or robotics conferences Hands-on experience training and evaluating deep learning models for autonomous driving or robotics applications Strong Python coding skills with expertise in modern deep learning frameworks (e.g., PyTorch, JAX, TensorFlow) Deep understanding of modern neural network architectures and learning paradigms We prefer: Experience with open-set perception models (e.g. SAM) Familiarity with autonomous driving datasets Experience with open-source foundation models Note: This will be a hybrid onsite internship position. We will accept resumes on a rolling basis until the role is filled. To be in consideration for multiple roles, you will need to apply to each one individually - please apply to the top 3 roles you are interested in. The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company's generous benefits programs, subject to eligibility requirements. Hourly Masters Pay $70 — $70 USD The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company's generous benefits programs, subject to eligibility requirements. Hourly PhD Pay $85 — $85 USD
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Within Perception, the Sensing Resilience team's job is to make sure that sensors "just work" for the entire self-driving car software stack. We make sure that all sensors are properly calibrated and consistently monitored at all times. We are often the firsts to algorithmically process data from next-generation sensors on next-generation vehicle platforms and work closely with both hardware and software teams to provide the best possible sensor data from our many sensors perfectly aligned to our upstream customers. To this end, we develop sensor data alignment and calibration algorithms, a growing sensor health backend, and deploy our systems both into the Waymo Driver and our log processing backend. Waymo interns partner with leaders in the industry on projects that create impact to the company. We believe learning is a two-way street: applying your knowledge while providing you with opportunities to expand your skill-set. Interns are an important part of our culture and our recruiting pipeline. Join us at Waymo for a fun and rewarding internship! You will: Help Waymo scale the sensor calibration algorithms to seamlessly support many different hardware architectures by developing the next-generation calibration system Develop, evaluate, and deploy new initiatives for the next-generation calibration system Evaluate and deploy ML-based calibration systems in new areas not yet covered in the literature Collaborate with highly experienced colleagues across hardware, software, and operations on deploying real world robotic system You have: Enrolled in a MS/PhD program in Computer Science, Robotics, or a similar technical field of study Experience in C++ We prefer: Experience deploying software as part of a complex system Experience calibrating multi-sensor robotic systems Experience evaluating and deploying ML systems Note: This will be a hybrid onsite internship position. We will accept resumes on a rolling basis until the role is filled. To be in consideration for multiple roles, you will need to apply to each one individually - please apply to the top 3 roles you are interested in. The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company's generous benefits programs, subject to eligibility requirements. Hourly Masters Pay $70 — $70 USD The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company's generous benefits programs, subject to eligibility requirements. Hourly PhD Pay $85 — $85 USD
About Coursera + Udemy Coursera and Udemy are now one company, bringing together two mission-driven brands to create the world's most powerful platform for turning learning into progress. Together, we help more than 300 million learners and 12,000+ enterprise customers build the skills they need for a world being reshaped by AI. Read more about the combined company by visiting our blog . Why join us now? AI is transforming how people learn, work, and grow, and the need for new skills has never been greater. Coursera brings trusted content and credentials from leading university and industry partners, while Udemy brings a dynamic skills marketplace and global network of real-world experts. By combining these strengths, we can connect more people and organizations to the skills they need, when they need them. Shape what comes next By joining our team, you'll have the opportunity to reshape how the world learns and applies skills—and help millions of people participate in the new economy. Bring your ideas, expertise, and perspective to meaningful work that can make a difference at global scale. Job Overview As a Senior Software Engineer, you will join a fast-paced innovation team that builds and deploys AI-powered solutions directly with Coursera's enterprise and campus customers. You will sit at the intersection of AI/Data Engineering, cloud and security architecture, and customer-facing solutioning — working hands-on with customers to map their workflows and data, prototype solutions quickly, and harden the ones that prove valuable into production deployments. You'll operate across the full engagement lifecycle: scoping a customer's environment and pain points like a consultant, prototyping working demos in real time with the customer, and then hardening the strongest patterns into production-grade, secure and compliant deployments. This role is customer-facing and will require regular travel to customer sites (domestic and occasionally international) for discovery, prototyping, and go-live phases of engagements. You will work closely with Product Managers, AI Specialists, Data Analysts, and other Engineers on the team, and directly with customer executive sponsors and IT/data owners, to decide what gets standardized, deployed, or retired. Key Responsibilities Scope customer environments directly with executive sponsors and IT/data owners — mapping systems, data models, and workflows to identify the real business problem, not just the stated one Rapidly prototype and demo working solutions in front of customers, iterating in real time to prove value fast Serve as the bridge between customer & core engineering team to harden validated prototypes into production deployments Design and implement multi-tenant, hybrid, or customer-controlled deployment architectures, as per customer's data residency, privacy, and IT-maturity requirements Build and own identity and access management, encryption, and secure cross-network connectivity (mTLS, VPC peering/PrivateLink, API gateways) for customer-embedded deployments Bring security, data-residency and compliance judgment into discovery conversations before a commercial commitment is made, not after Own CI/CD, observability, and production support for systems living inside customer environments Recognize repeatable patterns across customer engagements and feed field evidence back to Product to inform what should be standardized, deployed more broadly, or retired Collaborate closely with Product Managers, AI Specialists, and Program Managers to scope problem statements with a laser focus on customer and business impact Travel to customer sites as needed (expect regular travel) to support scoping, prototyping, and go-live phases of an engagement, including in-person workshops and executive readouts Basic Qualifications 5+ years of experience in a software engineering role, with strong hands-on backend engineering and cloud infrastructure experience 1+ years of experience building production-grade agentic AI solutions Proficiency in backend languages such as Python, Java, Typescript and technologies such as Docker, Kubernetes and Kafka with comfort working across the stack Deep understanding of cloud platforms (AWS preferred), able to design and operate both multi-tenant and hybrid customer-cloud deployment models Strong experience with data engineering fundamentals — ingesting, cleaning, and normalizing messy, inconsistent customer data across disparate source systems Working knowledge of identity and access management, encryption/key management, and secure network patterns (VPC peering, PrivateLink, mTLS) for customer-embedded or regulated environments Demonstrated comfort operating directly with customers — scoping ambiguous problems, running discovery, and demoing work-in-progress solutions live, in person and remotely Willingness and ability to travel regularly to customer sites, domestically and occasionally internationally, as engagement needs require Prior experience leading projects and debugging complex issues with minimal supervision Preferred Qualifications Experience with modern agentic AI tooling such as LangChain, LangGraph, FastMCP, RAG, or MCP Experience with Postgres, DuckDB, pgvector, or similar analytical/transactional data layers Prior experience in a solutions engineering, professional services, or technical consulting role where you owned a customer relationship end-to-end, including on-site engagement Familiarity with data privacy and residency regimes relevant to enterprise/education/government customers (e.g., GDPR, FERPA, DPDPA, HIPAA) Demonstrated ability to work in a fast-paced, ambiguous environment and make sound technical trade-offs with limited guidance Excellent communication skills, with the ability to translate technical constraints into terms an executive sponsor or non-technical stakeholder can act on Why Join Us? Work on high-visibility engineering problems with direct, measurable impact on enterprise and campus customers Work directly with strategic customers across geographies, owning engagements end-to-end rather than a narrow slice of a roadmap Directly influence what graduates from customer-facing custom solutions into Coursera's core product Be part of a lean, cross-functional team (Engineering, AI Specialists, Product, Program Management) with high autonomy and high trust and become a go-to technical leader Be part of a mission-driven company transforming global access to education and upskilling in the AI era Compensation Coursera offers competitive pay and fair compensation practices across all regions. Job titles may span multiple career levels, and the targeted hiring base salary range for this role in Canada is $137,000 to $172,000. Actual compensation will depend on factors such as experience, education, transferable skills, business needs, and location. This range may be adjusted over time and may include eligibility for variable pay, equity, and comprehensive benefits. For more information about how Coursera collects and uses your personal information, please see our Coursera + Udemy Global Applicant Privacy Notice . To protect against recruitment fraud, Coursera + Udemy recruiters only communicate via official coursera.org/udemy.com email addresses and never through personal accounts. We do not accept resumes via email or social media; please submit all applications directly through our careers page. If you encounter suspicious recruitment activity, please report it via our Fraudulent Activity Submission Form. Coursera is an Equal Opportunity Employer committed to building a welcoming and inclusive workplace. We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request at recruiting@coursera.org.